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TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: @HobsonDarlene #BlessJesus Amos 3:3 Can two walk together... | false
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | true | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | false | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | true | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | false | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: “@MyDick_SuckThat: Who that pussy wet for ?” http://t.co/Cru... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: @LanceTHESPOKEN Statement of the Day: Ppl who RT @ChiefsatWar are even dumber than... | false
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | true | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: @TMZ @britneyspears mickey mouse ears hat....and tail for th... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: Any solution to ZOG which doesn't deal with demographics ... | false
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: "Takin it straight to dirt, why finger the pussy when I know I can put my dic... | false
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | true | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | false | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: Padre /Yankee/Angel fans need to stfu
Label: Offensive
Ex Output:
false... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: 😩😩😂 damn roaches got dicks n pussy to be... | false
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | false | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: @Chink_19 shut up chink.!!!
Label: Hate Speech
answer:
true
... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: "@ronald_iongi: Ummmmmm okay http://t.co/4BVLsci5K5" you ... | true
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | true | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: #vegas #bitch http://t.co/wbAqQ5vFpd
Label: Offensive
SO... | true
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | false | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: @jazqui That's why I'm partially glad that I have to say ... | false
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: At all my ritz crackers. Idk what to do with myself anymore.
Label: Hate S... | false
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: Hazlenut coffee and graham crackers every morning 😍🙌💘... | true
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | false | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: ,@KiroGx me gusta "typing like a retard to make the other person... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | true | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @AGreasyMonkey @Huntermoore faggot
Label: Hate Speech
A: true
****
Q: Tweet: F... | false
****
| 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | true | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: @pcrossvol there's always one...they never realize they are... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @Aram2432 @Marco_Spatula who invited this fag?
Label: Hate Speech
A: false
***... | false
****
| 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: @GBLeighton remember 94 can be a bitch! Stop to drink if yo... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: "@Dietrich1892: Yall shut up:p" make me bitch
Label: Offensive
[EX A]: tru... | false
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: true | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | true | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | true | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: “@_tellmeboutLOVE: Gave that bitch a bib since she wanna act messy”
La... | true
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | false | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: @Chink_19 shut up chink.!!!
Label: Hate Speech
answer:
true
... | true
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | false | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: @emmysetter14 dayum saterlyt shoz un bayg ho-ul
Label: Neit... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example input: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2n... | false | 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: Conan Obrien needs to get a life with that $80 million..monkey food maybe.... | true
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: RT @DCPlod: The paranoid fear of sharia on the right boils down to: Chri... | true
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | false | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | false | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | true | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | false | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | false | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | false | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: @AlexaDelsanter karma is a bitch
Label: Neither
[A]: false
[Q]: Tweet: R... | false
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
TASK DEFINITION: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
PROBLEM: Tweet: 👍RT @kwagiheath: One'a y'all b!tches gon end up d... | true
| 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Teacher: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Teacher: Now, understand the problem? If you are still confused, see the followin... | true | 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: @ofhdirector Everybody, look at this bird-killing wind mill... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Q: Tweet: @NFLonFOX Random thought - If a bird crossing the path of a FG try were impacte... | false
****
| 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: "@SportsCenter: USC senior RB Anthony Brown calls head coach Steve Sarkisi... | true
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCD... | false | 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
One example is below.
Q: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.... | true | 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: @ActaBunniFooFoo I like my gross yellow heat lamps. Why?
Label: Neither
[E... | true
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: 👍RT @kwagiheath: One'a y'all b!tches gon end up dead over a scre... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: Ay what are some good bars/clubs to hit up in Denver?? Should be up there ... | false
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: 😂😂 maaaaannnn i hope so! RT @ABrown252: @Vonshay... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | true | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Ex Input:
Tweet: And I'm definitely top 3 at makin beats in the city but y'all niggers lo... | false
| 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
instruction:
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
question:
Tweet: @FAGHETTIOS speak english prude ass white bitch
Label: Hate ... | false
| 9 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
--------
Question: Tweet: 2+2 not knowing wtf it is bitch
Label: Hate Speech
Answer: fals... | true
| 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: 'Every bitch got a fat ass or she $3,000 from it' #RNS
Label: Hate Speech
false
T... | false
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Detailed Instructions: You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
See one example below:
Problem: Tweet: "@MarkRoundtreeJr: LMFAOOOO ... | true | 4 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You will be given a definition of a task first, then an example. Follow the example to solve a new instance of the task.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it... | false | 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[EX Q]: Tweet: .@AlyssSmithh @KeveeeD Yes indeed! Camels, ostriches and zebras! Sept. 5-7... | true
| 6 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Part 1. Definition
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Part 2. Example
Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE ... | true | 7 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Tweet: "I would rather you call me bitch than sir" -my manager
Label: Offensive
true
Twe... | false
| 0 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Input: Consider Input: Tweet: Lmao RT @iPOSTBADTWEETS: Lowkey Peyton Manning trash
Label:... | Output: false
| 2 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example Input: Tweet: Flabby bird sounds Turrible. Lol. I'll just stick to watching paint... | false
| 3 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
[Q]: Tweet: @BlakeAnderson21@dalton_ryann @justinmiculka01 bitch got the crew hype an sti... | true
| 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Let me give you an example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https:... | false | 8 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
Given the task definition, example input & output, solve the new input case.
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Twee... | false | 1 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
You are given a text of the tweet and a corresponding label whether this tweet is 'Offensive', 'Hate Speech' or 'Neither'. Your job is to identify if the label is correct. Generate label 'true' if it's correct, 'false' otherwise.
Example: Tweet: "@MarkRoundtreeJr: LMFAOOOO I HATE BLACK PEOPLE https://t.co/RNvD2nLCDR" T... | Solution: false | 5 | NIv2 | task905_hate_speech_offensive_classification | fs_opt |
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